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Download Bio-Inspired Computing -- Theories and Applications: 10th by Maoguo Gong, Pan Linqiang, Song Tao, Ke Tang, Xingyi Zhang PDF

By Maoguo Gong, Pan Linqiang, Song Tao, Ke Tang, Xingyi Zhang

This e-book constitutes the lawsuits of the tenth foreign convention on Bio-Inspired Computing: Theories and purposes, BIC-TA 2015, held in Hefei, China, in September 2015.The sixty three revised complete papers awarded have been conscientiously reviewed and chosen from 182 submissions. The papers care for the subsequent major themes: evolutionary computing, neural computing, DNA computing, and membrane computing.

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Additional info for Bio-Inspired Computing -- Theories and Applications: 10th International Conference, BIC-TA 2015 Hefei, China, September 25-28, 2015, Proceedings

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PV, WT, Load1, Storage1 and Storage2 power changes are shown in Fig. 10(b). The power of GT and Load2 changes are shown in Fig. 10(c) and Fig. 10(d). The figure shows that CFPS and Its Application of Coordination Control in Micro-grid 29 (a) (b) (c) (d) Fig. 9. (a) SOC of the original system, (b) DGs’ power distribution of the original system, (c) The power difference curve of the original system, (d) AC frequency curve of the original system. 5 h. 5 h, the GT was disconnected and Load2 kept accessing.

Therefore, in this algorithm, the co-channel interference in the system has not been effectively treated and avoided. When using the Greed grouping resource allocation algorithm, the throughput of system was increased greatly due to it effectively coordinated the interference between different communication links. The Fuzzy Grouping resource allocation algorithm proposed in this paper is based on the Greed grouping algorithm and is more stringent in handing interference. It also considered the interference between each D2D channel link, therefore, this algorithm has the highest system throughput and the system performance is significant upgraded.

Comput. Sci. 87(1), 67–74 (2004) 4. : Analysis of gray scale watermark in RGB host using SVD and PSO. In: IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), pp. 1–7 (2014) 5. : SVD watermarking: particle swarm optimization of scaling factors to increase the quality of watermark. In: Proceedings of Fourth International Conference on Soft Computing for Problem Solving, pp. 205–214. Springer, India (2015) 6. : An SVD-based fragile watermarking scheme with grouped blocks.

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